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OmniTrap MS Curate high-quality MS/MS datasets and perform detailed fragment ion interpretation Collaborate with computational researchers on downstream data interpretation and methodological refinement
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and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
pipelines in bioelectrochemical reactors defining and comparing high-performance phenotypes comparative and functional omics of the communities linking genotype and function to system-level performance
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
characterization of mixed defined microbial communities, including adaptive evolution. This project is a collaboration with chemists to produce high quality carbon materials from waste CO2. Systems biology of
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that generate substantial amounts of data. You will become part of the department’s data team and a network of data managers across the Faculty of Natural Sciences, where data management, high-performance
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performative aspects of dictators’ communication, and it seeks to explain how and why such communication changes across different strategic contexts (such as during different types of crises). Utilizing, among
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application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study program. The PhD stipend is open for
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum